Simplifying AI Deployment
For Every AI Adopter

AIxBlock

No-Code Platform

Deploy inference endpoints with ease
AIxBlock

Diverse Model Selection

Access a wide range of free and paid models From Meta, Alibaba, Tesla, Hugging Face, and beyond.
AIxBlock

Cost-Effective Compute

Use decentralized compute for up to 90% lower costs

Supported Foundation Models

  • AIxBlock Computer Vision
  • AIxBlock Automatic Speech Recognition (ASR)
  • AIxBlock Large Language Models (LLMs)
  • AIxBlock Automatic Speech Recognition (ASR)
  • AIxBlock Computer Vision
  • AIxBlock Automatic Speech Recognition (ASR)
AIxBlock

Frequently Asked Questions

What does the "Deploy Only" feature allow me to do?

The "Deploy Only" option lets you deploy AI models inference endpoints or self host models on your own infra, either using your own GPUs or renting on-demand from our decentralized GPU marketplace.

Can I use my own GPUs for deployment?

Yes, you can deploy AI models on our marketplace on your own GPUs for full control over your own privacy and security. Alternatively, you can rent more compute power from our decentralized GPU marketplace on demand. Models can be hosted on a distributed cluster using both yours own computes and rented computes.

What AI models are available for deployment?

We support a diverse and continuously updated list of AI models, including newest foundation models like Deepseek R1, Deepseek V3, Qwen 2.5, seamless M4T, SAM, etc. The model marketplace is an open P2P marketplace so anyone can monetize their models as long as they are qualified. You can always test those models in our demo environment before deploying.

Can I test models before deploying?

Yes! Before deployment, you can test any model in our real-time demo environment. This lets you validate performance and suitability before committing resources to deployment.

Can I monetize my own AI models on your platform?

Absolutely. If you’re a model creator, you can list your models on our model marketplace and monetize them. Other users can then deploy your models for different purposes such as: deploy inference endpoints, auto label, auto train, fine-tune.

What if I want to fine-tune a model before deploying?

If you need to customize a model before deployment, select the "Fine-Tune and Deploy" option instead. This allows you to fine-tune your chosen model with your own data before launching it into production.